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Adapting your business digital strategies in 2024 with more AI

AI is revolutionizing the way businesses operate in today’s digital age. 2023 was all about harnessing the power of artificial intelligence to drive corporate success. By integrating AI into their digital strategies, companies could unlock a multitude of benefits that help them stay ahead of the competition and drive success, even in uncertain times. From e-commerce giants to small online startups, it became an integral part of businesses across industries. So, if you want your business to thrive in 2024 and beyond, it’s time to adapt your digital strategies and embrace the AI revolution.

AI refers to the development of computer systems that can perform tasks that typically require human intelligence. These intelligent machines have the power to analyze vast amounts of data, learn from patterns and trends, and make informed decisions. One key role of AI in business is automation. With its ability to handle repetitive and mundane tasks, AI frees up valuable time for employees to focus on more strategic initiatives. From customer service chatbots providing instant assistance to automated inventory management systems optimizing supply chains, AI streamlines operations and boosts efficiency.

 

Another vital aspect is predictive analytics powered by ML algorithms. By analyzing historical data, AI systems can identify patterns and predict future outcomes with remarkable accuracy. This allows businesses to make data-driven decisions, optimize marketing campaigns based on consumer behavior analysis, personalize user experiences on e-commerce platforms, and even forecast demand for products or services.

 

Moreover, AI enables personalized recommendations tailored specifically for each customer. By understanding their preferences through behavioral analysis or purchase history examination, businesses can offer relevant product suggestions that enhance engagement and drive sales.

 

The role of AI extends beyond operational efficiency; it also revolutionizes decision-making processes within organizations. Through advanced algorithms and natural language processing capabilities, AI helps executives access real-time insights from multiple sources at lightning speed. This empowers them to make well-informed decisions swiftly – a competitive advantage in today’s fast-paced business environment.

 

Embracing the role of AI in your business strategies opens doors to endless possibilities for growth and innovation while improving operational efficiency across various departments. As we delve deeper into this exciting topic in this blog post, you’ll find practical examples from successful implementations around the globe!

 

Examples of Successful AI Integration in Businesses

 

AI integration has revolutionized various industries, enabling businesses to streamline their operations and enhance customer experiences.

In the retail sector, companies like Amazon have leveraged AI algorithms to personalize product recommendations for customers based on their browsing and purchase history. This not only improves customer satisfaction but also boosts sales by driving targeted marketing efforts.

 

AI-powered chatbots have become increasingly popular in the customer service industry. Companies such as Amazon, Bol, have implemented chatbots that can handle basic customer inquiries, reducing response times and improving efficiency.

 

The healthcare industry has also seen significant advancements with AI integration. For instance, IBM’s Watson Health platform utilizes AI technology to analyze vast amounts of medical data, assisting doctors in diagnosing diseases more accurately and efficiently.

 

In the manufacturing sector, companies like Tesla have embraced AI-driven automation systems to optimize production processes. These intelligent machines can monitor quality control, predict machinery maintenance needs, and increase overall productivity.

 

E-commerce giants like Alibaba are utilizing AI algorithms to analyze consumer behavior patterns and make real-time pricing adjustments accordingly. This allows them to offer personalized promotions tailored specifically to individual customers’ preferences.

 

These examples demonstrate how successful implementation of AI technologies can drive growth, improve operational efficiency, enhance customer experiences, and ultimately lead businesses toward success in today’s digital age.

 

How to Prepare Your Business for the Inevitable Shift towards AI

 

As technology continues to advance at a rapid pace, it’s becoming increasingly clear that AI will continue to play a crucial role in shaping the future of businesses. To stay ahead in this digital age, companies need to start preparing themselves for the inevitable shift towards AI.

 

One way to prepare your business for this shift is by investing in AI-powered tools and software. These tools can help automate repetitive tasks, analyze large amounts of data, and provide valuable insights that can inform decision-making processes. By leveraging these capabilities, businesses can optimize their operations and improve overall efficiency.

 

Another important aspect of preparing your business for AI is upskilling your workforce. As AI becomes more prevalent in the workplace, employees will need to acquire new skills and adapt to working alongside intelligent machines. Providing training programs and educational resources can help employees embrace AI technology and use it effectively within their roles.

 

Additionally, businesses should also focus on building a strong data infrastructure. With AI relying heavily on data analysis, having clean and reliable data sets is essential for accurate predictions and insights. Implementing robust data management systems can ensure that you have access to high-quality data that fuels your AI initiatives.

 

Furthermore, fostering an innovative culture within your organization can greatly facilitate the adoption of AI technologies. Encouraging experimentation with new ideas and providing avenues for collaboration between different teams can lead to breakthroughs in implementing AI solutions tailored specifically to your business needs.

 

Staying informed about industry trends related to AI is vital for any business looking to thrive in the digital landscape. Keeping abreast of advancements in machine learning algorithms or emerging applications of AI can give you a competitive edge over others who may be slower to adopt these technologies.

 

Therefore, businesses must recognize the transformative power of AI as they plan their strategies moving forward into 2024 and beyond. By taking proactive steps such as investing in AI tools, upskilling employees, focusing on data infrastructure, fostering innovation, and staying informed about AI trends, businesses can position themselves in a powerful position.

Cloud Computing: A Life-Saver for Businesses in Crisis Situations

In times of crisis, businesses need reliable solutions to keep their operations running smoothly. From natural disasters to pandemics, the right digital infrastructure can make a world of difference in terms of both cost and efficiency. That’s why more and more companies are turning to cloud computing – a digital solution that promises maximum data security while being highly scalable and cost-effective.

 

It’s proven that Cloud computing is a life-saver for businesses in crisis situations. It allows businesses to continue operating even when faced with power outages, natural disasters, and other unexpected events. By storing data and applications in the cloud, businesses can keep their critical operations running and avoid costly downtime.

 

The benefits of cloud computing for businesses in crisis situations include:

 

  • Increased Flexibility: Cloud computing gives businesses the ability to scale up or down as needed, which can be a lifesaver during times of crisis when demand is unpredictable.
  • Reduced Costs: The pay-as-you-go model of cloud computing can help businesses save money during times of crisis when every penny counts.
  • Enhanced Collaboration: The collaborative features of many cloud-based applications can help businesses stay connected and work together effectively even when employees are working remotely.
  • Improved Disaster Recovery: With cloud backup and disaster recovery solutions, businesses can protect their critical data and systems from being lost or damaged in the event of a disaster.
  • Greater agility: In today’s fast-paced world, the ability to quickly adapt to change is critical for survival. Cloud computing gives businesses the agility they need to make changes on the fly and keep up with the competition.

 

 

How Does Cloud Computing Help with Business Continuity?

Business continuity is an important consideration for any business, and cloud computing can be a valuable tool in maintaining business continuity. Cloud computing can provide businesses with the ability to maintain access to their data and applications in any given circumstance. Additionally, cloud computing can provide businesses with the ability to scale their resources up or down as needed, which can help to ensure that they have the resources they need during times of increased demand.

There are many different cloud computing solutions available, and the best one for your business will depend on your specific needs. However, there are some general best practices that you should follow when implementing a cloud solution:

 

Best Practices for Implementing Cloud Solutions

There are many different cloud computing solutions available, and the best one for your business will depend on your specific needs.
However, there are some general best practices that you should follow when implementing a cloud solution:

 

    • Define Your Goals: Before you even start looking at different cloud solutions, you need to take a step back and define what exactly you want to achieve with the move to the cloud. What are your specific goals and objectives? Once you have a clear understanding of what you want to achieve, you can start evaluating different options to see which one is the best fit for your business.
    • Do Your Research: Don’t just go with the first cloud solution that you come across. Do your research and compare different options before deciding. Consider factors such as pricing, features, scalability, security, and support when making your decision.
    • Work with a Reputable Provider: When it comes to choosing a cloud provider, it’s important to work with a reputable and experienced company. Choose a provider that has a good track record and is able to meet your specific needs. Ask for references from other businesses that have used the provider’s services before making your final decision.
    • Implement a Pilot Program First: Before moving all of your data and applications to the cloud, it’s often helpful to implement a pilot program first. This will allow you to test out the cloud solution and make sure that it works well for your business. It’s also a good way to get a feel for the provider’s customer service and support.
    • Stay Up to Date: Cloud technology is constantly evolving, so it’s important to stay on top of the latest trends and changes. Make sure that your cloud solution is up to date with the latest features and security measures in order to ensure that you’re getting the most out of your investment.

 

Following these best practices will help ensure that your cloud solution is implemented successfully and meets your business needs.

 

Nevertheless, there are a few critical considerations to take into account when choosing a cloud provider, particularly for businesses in crisis situations. The 1st is scalability: can the provider scale up or down to meet the changing needs of the business? 2nd is reliability: is the provider’s infrastructure reliable and robust enough to handle mission-critical workloads? 3rd is security: how well does the provider protect data and ensure compliance with industry-specific regulations? 4th is cost: what is the total cost of ownership for using the provider’s services? And lastly, flexibility: how easy is it to use the provider’s services and how much control does the customer have over their own data and applications?

 

To choose the best possible cloud provider for your business, it’s important to understand your own requirements and objectives so you can evaluate different providers to see which one best meets your needs.

At Xorlogics, we advise you on all questions regarding the introduction, update or optimization, maintenance, and further development of your IT systems according to your needs and are at your side as a competent partner. We are happy to assist you in all technical areas. Thanks to our many years of experience, we know what is important, and which hardware and software make sense for your work processes. Just contact us and we will be happy to advise you.

Covid19: Things We’ve Learned About #CloudComputing, So Far

 

Things We've Learned About #CloudComputing, So Far

In a remarkably short period of time, cloud computing has moved from a marginal to a fundamental element of IT operations. Thus, in just ten years, CIOs were presented with an opportunity to break the rules and create a new model for the implementation of IT. IDC forecasted cloud infrastructure spending to grow 12.9% to $74.6 billion for 2021 and Gartner expects the cloud computing industry to grow a trillion-dollar value in 2022. While cloud computing is essential in the IT strategy, it’s good to highlight where the cloud has brought benefits and in which areas companies still have to improve.

Let’s find below which strategies are working and where there is still work to be done.

 

The practice of cloud computing to bridge gaps in services

Cloud computing should be seen as a form of flexible outsourcing. It is only one vector among others for the provision of services. In computing on demand, what matters is how the company subscribes to services and benefits, not how they are delivered.

Cloud computing has the advantage of offering a very different model from the traditional ways of purchasing enterprise computing, where an ISD would acquire hardware and software for a specific location. This may be appropriate for services limited to a regional market but can encounter problems of latency at the global level. This can be very problematic, especially if you are managing IT for a highly transactional business such as a financial institution, or if you ship large amounts of data. The cloud enables CIOs to ease these performance issues by purchasing on-demand computing to create omnipresent service delivery.

You can rely on the third party to provide the diverse service you need, while they, as an expert, have the capability to deliver peak capabilities and performance where and when you need it.  As a CIO, you can expect the platform to work and be available. Now, many IT executives will do their best to avoid possessing new physical hardware, while being assured that the service will be well provided. The cloud enables IT managers to take a step towards hosting and achieve high levels of backup and security for a defined fee.

 

Adopt a cloud computing mindset

A company must have a long-term goal to migrate as much IT capacity to the cloud as it provides a cost-effective way to gain access to new skills and expertise. It can be difficult to keep in touch with all the innovations associated with the cloud; so, make sure to spend enough time brainstorming and talking with future IT professionals to get an idea of ​​future changes. They are probably more aware of the next big phenomenon that will affect the company. The culture that surrounds IT management is evolving, and that’s why you have to take a look at the new services that are available on the market and encourage employees to adopt a mindset favoring cloud computing.

However, a migration to the cloud must be carefully managed, including governance and information security. By definition, major providers (such as Amazon and Google) should be much better at securing data. However, CIOs need to be aware that convincing the rest of the company of the benefits of cloud computing can be a slow process, particularly with regard to governance, security, and approval issues.

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Let the cloud take care of core domains

Cloud computing integration must bring a tremendous solution to your organization’s operational challenge. The starting point concerns a number of core areas that CIOs can easily deliver on-demand. If you are using products such as Salesforce and Office 365, you’d have to be crazy to want to host them yourself. Better to let someone else, an expert in this field, take charge of your operational concerns. The cloud also serves as a one-time solution to problems involving certain operational projects.

 

Finding a balance and determining how to manage legacy systems

IT managers would be foolish to dismiss cloud computing, if only in terms of the quality of the service. However, while businesses will continue to migrate on-demand services, much remains to be done. We’ve noticed that some companies are opting ​​for an on-demand model and there are others that buy more internal resources.

For CIOs, moving to an on-demand model can be a headache. You have your systems inherited and at some point, you will have to consider migrating these services to cloud computing, but it’s possible, as the momentum is in favor of computing demand, despite persistent concerns about security and governance.

 

Security and Privacy

The main challenge to cloud computing is how it addresses the security and privacy concerns of businesses thinking of adopting it. The fact that the valuable enterprise data will reside outside the corporate firewall raises serious concerns. Hacking and various attacks on cloud infrastructure are affecting multiple (potential) clients. These risks can be mitigated by using security applications, encrypted file systems, data loss software, and buying security hardware to track unusual behavior across servers.

 

Reliability and Availability

Cloud providers still lack round-the-clock service; this results in frequent outages. It is important to monitor the service being provided using internal or third-party tools. It is vital to have plans to supervise usage, SLAs, performance, robustness, and business dependency of these services.

Security and Remote IT Management in 2021

The pandemic has forced many companies to modernize and adopt alternative ways to work. The digitization of the work environment has accelerated significantly in 2020. Home office and remote work continue to be an important part of the worldwide economy. For many IT professionals and managed service providers (MSPs), remote management always existed as a part of their business, especially in international companies as offices are often distributed across the globe. Mostly in these so-called “distributed companies”, service providers are not always on-site with their customers, and it is much more convenient, efficient, and effective for them to support their customers remotely.

 

Since the COVID-19 pandemic more and more employees are working from home. More than half of the workers who have started working from home since the pandemic had no prior experience with teleworking. In terms of remote management & monitoring, it’s very different and challenging to manage someone who works in an office environment vs working from home.

 

Typically, employees access IT systems from a controlled environment, such as from within an office on a known and trusted network. But when IT staff works from home, they use personal uncontrolled devices or shared computers on uncontrolled networks to access sensitive corporate or government information, for which compliance regulations often apply. It becomes challenging for IT admins to manage several branch offices, each with different requirements and safety measures, instead of managing a central location. Home networks are less secure than office networks and have weaker protocols with higher chances of cyber-attacks unless proper measures are taken. A single vulnerability can crash a network and put an entire company at risk.

 

Remote worker management checklist:

With many organizations extending their work-from-home policies, security practices are more important than ever. FBI has reported a 400% increase in cyberattacks since the outset of the COVID-19 pandemic, ransomware attacks are increasingly targeting SMBs. It is therefore imperative that security teams get better at controlling network access.

At a minimum, IT professionals should apply here below tips to not only protect their systems from cyber intrusion but also to secure their remote environments for employees or customers and better educate end-users about the risks.

 

  • Educate about phishing threats: 91% of successful data breaches start with a phishing attack, which means almost all cyberattacks are instigated from a malicious link or attachment that is only effective if an employee hasn’t been educated/informed about risks and fraud related to the scam. It is important to keep employees informed of the latest threats and train them to remain vigilant towards cyber threats. Cybercriminals are currently exploiting the fear of COVID-19 by focusing on relevant topics. Through understanding the problems with their current security strategies, employees can improve their habits and help form a strong security perimeter for their organization.

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  • Integrate a patch management program: Patched software is safe software. It’s a process of managing a network of computers by regularly performing patch deployment to keep computers up to date. As it’s important to prevent employees from running old versions or even end-of-life software at home. Exemplary technology partners make it possible to automate the installation and updates of the software via third-party providers. Patch management fixes all vulnerabilities on your software and applications that are susceptible to cyber-attacks, helping your employees strengthen their cybersecurity.
  • Enhance your home wireless network: When protecting home networks, it makes sense to think a little outside the box. For example, how secure are the employees’ router settings, and which IOT do they use that are connected to the home network? Wi-fi comes with lots of security issues and a vulnerable router makes a vulnerable access point. Securing home routers will allow users to keep stock of all connected devices. This requires a thorough inventory of all networked devices.
  • Multi-layered security: Keeping your business protected against cyber-attacks is a challenge therefore, multi-layer security—also known as the “multi-level security” approach to cybersecurity is the best solution for organizations. Layered security is a network security approach that uses several components to protect your operations with multiple levels of security measures. This can start with user training, followed by URL or script blocking, then file scans and integrity monitoring, and so on. Even if an attacker breaks through a line of defense, the next one is ready to stop intruders from breaching your networks.
  • Have a disaster recovery plan (DRP) ready: If all else fails, a robust disaster recovery plan will ensure you get up and running as quickly as possible. It’s a well-documented and structured approach that describes how an organization can quickly resume after an unplanned incident. It must include a plan for business continuity, protecting sensitive data, minimizing financial losses and disruption for end-users, and a plan for responding to incidents to comply with all relevant regulations. Similarly, companies should ensure that their technology and service providers understand the importance of protecting this type of unknown environment.

 

At this point in time, nobody knows what the “new normal” will look like. For many companies, the biggest challenge lays in finding the right balance between remote and in-office work, followed by learning how to manage remote teams and facilitating effective collaboration. All these skills will take time to master as IT professionals are learning and adapting as they go. Companies must ensure security and business continuity at the same time in this new hybrid world.

Cloud vs. On-premise: How The Cloud Operating Models can help in Covid-19 Crises

ON PERMISES VS CLOUD

The dramatic spread of COVID-19 has not only threatened lives and livelihoods but also businesses worldwide. The corona crisis has confronted companies and employees with enormous challenges and fear among staffs and other stakeholders. Organizations around the world are facing twin anxieties, for how long and how sever will the COVID19 outbreak will be and how can they prepare for a new organizational structure that can help them keep pace sustainably. In addition to technological, organizational and motivational difficulties, IT teams often had to do with the capacity limits of the solutions used.

 

The biggest challenge for organizations was to face a sudden and dramatic situation in which from one day to the next suddenly a few hundred employees were working from their home office. This rapid shift to remote work has brought on other challenges of scalability and flexibility along with effective performance measurement, management, and accountability for organizations. In this suddenly almost exclusively virtual world, a high level of scalability was required, which is more difficult or easier to achieve depending on the operating model – in your own data center or in the cloud.

 

Even before the corona crisis, it was a long debate on the “right” choice between cloud and on-premise monitoring? Several ways in which solutions can be used have occupied many decision-makers and divided their opinions. But in the midst of the COVID-19 crisis, your choice might impact your company’s long-term sustainability and profitability. Here below is the overview of different operating models and the advantages they offer to organizations.

 

Overview of Operating Models: In general, software solutions are available in two modes, on-premise and cloud-based. On one hand we have “on-premise software” that are installed locally, on a company’s own computers and servers, data center whereby maintenance, safety and updates also need to be taken care by internal employees. On the other hand, we have “Cloud-based software” that are hosted on the vendor’s servers and accessed through a web browser.

Even in cloud, companies have the choice to opt for a private or public cloud. A private cloud is not shared with any other organization. The private cloud user has the cloud to themselves. By contrast, a public cloud is a cloud service that shares computing services among different customers, even though each customer’s data and applications running in the cloud remain hidden from other cloud customers.

 

Flexera™2020 State of The Cloud Report shows that 92% of organization’s IT environment is in the cloud today, as only 8% say their total IT environment is all on-premises. 93 % of enterprises have a multi-cloud strategy versus 87 % have a hybrid cloud strategy. 59 % of respondents who answered a question about COVID-19 expect cloud use to exceed plans due to the pandemic.

 

According to the study, cloud top challenges are security, spend, governance and expertise. 83% of enterprises indicate that security is a challenge, followed by 82% for managing cloud spend and 79% for governance. On the other hand, for cloud beginners, lack of resources/expertise is the top challenge, for advanced cloud users, managing cloud spend is the top challenge.

 

Covid-19 Challenges: In order to stop the spread of coronavirus, the home office requirements are obliged by the federal and state governments. It’s a huge challenge for many companies because their IT infrastructure reached its capacity limits. In the event of unexpected growth, they are faced with an increasing need for storage and services. In addition to that, it’s difficult to predict when any contraction will occur. On one hand, the significantly increased access to corporate servers by home workers has led to problems with accessibility and connection quality for many. A flexible and short-term expansion of capacities was therefore required – which works differently depending on the type of company. On the other hand, in the event of shrinkage, the most important thing is to be able to scale down and keep a grip on costs. Thus, it’s a huge challenge for companies to make the storage strategy more flexible, scalable and responsive. A study conducted by LogicMonitor revels that 87% of global IT decision makers agree that the current COVID-19 pandemic will cause organizations to accelerate their migration to the cloud.

 

Both operating models have their advantage and inconvenient:

The advantages of operating on cloud (regardless of whether it is a public or a private cloud) are generally associated with reducing internal IT staff responsibilities as your cloud storage will be managed by third company. Their responsibilities will be limited when it comes to install new software patches or updates, security and maintenance, thus they can concentrate on other important tasks. In addition, they can access real-time reporting and analysis of data from anywhere, which is very crucial for home office during covid19 crises. Company’s online data is secured and encrypted and backed-up at regular intervals, with Cloud Computing, it’s all included in the package. To help companies keep their initial costs low, organizations regularly pay for cloud-storage on a monthly use basis. No matter if you’re scaling up or scaling down, cloud vendors can easily adjust their prices to meet your budget. A major downside of cloud is that you may lose access to your data in case of a connection outrage and can stop the productivity. Plus, you run the risk of unauthorized personnel accessing your data.

 

The advantages of operating an on-premise solution are generally related to the greater security and independency and full control of internal IT, that on-premises solutions and storage give their data.  As that organization have the full control over their hardware’s locally, upgrades can be tightly controlled. But that also means that the company is solely responsible for the configuration, operation, maintenance and security of the data center. And also, that it has to find quick solutions for changing conditions, such as in corona times, and implement every step necessary for this in-house. This requires appropriate hardware, networks, bandwidth, know-how and time resources. One of the major benefits of on-premises storage is that it doesn’t require users to have an internet connection to access data. So, the fear of losing productivity due to connection loss is non existing.

 

Sources:


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COVID19: Digitization Recovery Plan for 2021

 

To help repair the economic and social damage caused by the coronavirus pandemic, digitization will continue to boost in 2021. All those lock-down measures in response to the coronavirus outbreak have frozen the economic activity in certain sectors and harshly disrupted others, which resulted in worldwide unemployment and bankruptcies. In order to overcome all restrictions in the contactless world, citizens and businesses are relying on the internet and connectivity as social and economic activities became more digital.

 

What is now very clear, is that COVID-19 has accelerated digitalization. IT decision-makers are under pressure with using new technologies to modernize legacy processes and recognize and implement new business model innovation opportunities, more than ever before. All digital business transformations must begin and end with a crisis recovery plan and must reinforce companies’ foundations for a modern and more sustainable future. Additionally, as customers are getting more used to doing things digitally. This opens up opportunities for businesses to introduce new products and to reduce costs. The Belgian government has also agreed on an investment package of 4,3 billion EUR in digitalization, sustainability, education, health care, R&D, 5G, mobility.

 

Here below are the top digital transformation trends that will shape 2021.

 

  • Businesses’ journey to the cloud will accelerate in order to digitize quickly and effectively in the response of COVID-19. Across industries, this acceleration will result in their digital business transformation for long-term growth and profitability. This migration of infrastructure and applications to the cloud will enable leaders to innovate quickly, by significantly reducing development and solution delivery cycles, empowering operational efficiency through cost optimization, and benefiting from real-time accessibility of data.

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  • Companies will invest in 5G in order to enhance the experience of workforce mobility (remote work), videoconferencing, and digital collaboration. This adoption is motivated by the need for more bandwidth, faster speeds, reliable and resilient connectivity as businesses cannot afford to be disconnected. 5G will boost the company’s existing network by providing diverse connectivity, to ensure scalability for growth and business continuity with a faster response time, delivering a quality user experience subsequently increasing productivity and customer service. The IEEE 2020 Global Survey of CIOs and CTOs surveyed 350 CIOs or CTOs in the US, China, UK, India, and Brazil from Sept. 21-Oct. 9, 2020, revealed that 52% have accelerated 5G adoption. Doubtlessly, with all these earlier mentioned benefits, the value and adoption of 5G will become increasingly mainstream in 2021.  Additionally, by 2030, 5G modules are expected to account for almost 30 percent of total B2B 5G IoT module revenues.
  • Worldwide industries will turn their attention to robot resilience in 2021. Organizations will accelerate automation projects more critically. With intelligent automation projects, ROI is realized instantaneously, offsetting the upfront investment. Automation (RPA) allows organizations to automate certain types of work processes to reduce the time spent on costly manual tasks and reallocate resources elsewhere. Software robots will automate the work of most people by taking the unpredictable, dreary, and monotonous tasks, faster and with fewer mistakes, while human capital resources will be assigned to higher-value tasks or to fill critical gaps.
  • COVID-19 has forced companies all over the world to adapt to and embrace remote work. With the safety concerns that continue to grow, companies are negotiating remote work policies as their business strategy for the long term. Even though many companies succeeded in the rapid transitions to remote work, they are realizing that remote work is here to stay. Companies and employees are realizing the significant benefits of remote work, such as increased flexibility, autonomy and productivity, better work and life balance, lowered business expenses, etc. according to a Gartner study, 74% of CFOs and Finance Leaders say that they will move at least 5% of their employees to remote working permanently post-pandemic, another 25% of the participants say they will move 10% of their workforce to remote working permanently.
  • Countries around the world are working on more comprehensive and accessible electronic health records. The access of the patient to his medical record by electronic means is part of the eHealth Action Plan validated by all the Belgian ministers of health. By simply asking your healthcare provider to activate the option, you can access to the contents of your documents. The online medical record allows the patient to have their health record at any time. Additionally, the AI healthcare market is expected to exceed $34 billion by 2025 as artificial intelligence is already playing a huge role in the digital transformation of healthcare. In fact, AI is being used currently for AI-assisted robotic surgery, assist pathologists in making more accurate diagnoses and treat illness, detect cancer in its earliest stages and subsequently develop new treatments, and doctors are using AI-enhanced microscopes to scan for harmful bacteria’s in blood samples at a faster rate than is possible using manual scanning.

 

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COVID-19: Why RPA alone is not enough

COVID19 Why RPA alone is not enough

 

Robotic Process Automation (RPA) is demonstrating remarkable potential in enterprise deployments, saving thousands of hours each year, reducing wages costs and enabling people to focus on higher-value work. However, recent experience has shown that intelligent and agile automation of business processes requires more than RPA. The biggest problem with enterprise operations today is the simple fact that most firms only implemented RPA and believe that this technology is the only good solution for optimizing their routine processes. An RPA application often has to coexist with other applications supporting different workflows for handling huge digital workload while increasing productivity and reducing costs.

 

RPA is relatively easy and quick to implement technology and promises a strong ROI and is defiantly a helpful element for automating simple, repetitive tasks, especially in connection with legacy systems or documents. However, the current pandemic has shown the limits of this technology.

RPA imitates human behaviour that is repetitive and doesn’t require special knowledge, such as filling in the same information in multiple places, re-entering data, or copying and pasting content, screen scraping, opening emails and attachments, carrying out checklists, vetting contracts, moving files and folders, or reconciling processes as codified rules instruct the computer software ‘robots’ to perform human tasks within a process.

 
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As RPA directly integrates into existing / legacy infrastructure, the most common pitfall in its integration is the lack of strategy, governance, and planning. Robots, which act as digital assistants on end devices in the company and sometimes require the intervention of the employees, can only be made available for the home office with a lot of configuration effort. This is often not even possible due to the presence of legacy infrastructure. One the other hand, holistic, intelligent process automation offers the necessary flexibility and agility that goes beyond RPA and requires additional technologies such as artificial intelligence, case management and business process automation.

 

With the combination of RPA and BPA, companies can comprehensively digitize their entire customer processes, handle and orchestrate flexible units. Human and digital actions can be coordinated and controlled to create seamless end-to-end processes and this control can be quickly and flexibly adapted to new conditions at any time. As RPA does not stand on its own, organizations will need tools such as BPA for overall management of a business process. RPA cannot itself change process or optimize it, it only executes a process, but on the other hand BPA enhance the performance of an implementation of RPA by ensuring that the process being automated is optimized and delivering the required results. The goal of RPA and BPA is to create more efficient and effective workflows. However, both use different forms of automation.

 

With such flexible approach and technology stack, companies have significantly more options in situations like COVID19. For example, there would be the possibility of redesigning the process flows so that they integrate the home offices. Business applications can be adapted very quickly to the new working environment, since the underlying processes and system connections remain constant. This flexibility will not only pay off in crises but will also offer companies the possibilities benefit significantly from this in normal times. For example, when they have to react to new market requirements, with acquisitions and mergers or when certain departments can no longer be filled because the employees have retired and no young people can be found.

 

Therefore, firms need to set a clear vision, governance, and performance objectives when integrating and using RPA solutions to scale up their operations. stakeholders from IT, business, support, compliance, and HR must also be involved in order to ensure strategic alignment across the organization.

Demand Forecast Powered by Machine Learning

Demand Forecast Powered by Machine Learning

 

The business landscape is rapidly becoming more global. Largely due to improvements in communicationsand increasing globalization which are dramatically impacting the way business is managed. No area of a business is more affected by the trend of a global business environment than the supply chain. Supply chain logistic, known as the backbone of global trade, is a network of many partners involved such as customer, dealers, manufactures,transportation, external warehouse,suppliersand inventory. Sometimes a delivery comes along with delay, sometimes there is something wrong in a package, delivered article is different to ordered article and sometimes a shipment is lost. This is annoying for all sides. It costs time, energy, money and sometimes even the customer. Challenges for decision-makers in supply chain management are growing due to the widely networked supply chains and the constant change in the environment of companies.

 

In fact, many companies are facing hurdles in their existing business processes and technologies that aren’t flexible enough to deal with “large and global” business environments. Therefore, areas such as manufacturing, distribution, sourcing of materials, invoicing and returns are impacted by the increased integration of a global customer and supplier base.

Supply Chain specialist must deals with long-term planning in terms of location, make-or-buy decisions, supply relationships, capacity dimensioning, logistics strategy and general tasks along with cost optimization in structuring of the logistics and production processes. Hence, in order to initiate the demand forecasting, it’s highly recommended to understand the workflow of machine learning modeling. This offers a data-driven roadmap on how to optimize the development process.

 

Operational inefficencies in SCM often lead to potential revenue losses, increasing costs, and poor customer service, ultimately diminishing profits. With the help of AI, machine learning techniques are able to forecast the right number of products or services to be purchased during a defined time period. In this case, a software system can learn from data for improved analysis. Only good data produces good results!

Data interpretation is a vital part of supply chain management and demand forecast as it’s used to improve your ability to estimate future sales, reduce shortages and overstock. Once the data is interpreted correctly, both in national and international trade results in having the right products at the right time in the right number at the right place.
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So, for demand forecasts that are generated by self-learning algorithms require data that is closely related to sales. However, in order for machine learning to achieve a high quality of forecasting, a certain amount of quality data is required. The result of ML process depends solely on the quality and quantity of data provided.

To ensure that the data is up to date, the input data should not be older than 5 years. Data selection can be a special hurdle before using machine learning methods, because it can be very time-consuming. In connection with the data quality, it must be ensured that there are only a few missing values of the data records in the input data, otherwise the machine learning model may generate incorrect results. Data preparation is necessary for successful implementation and definitely pays off later. If the data record does not have sufficient data quality, it must be prepared through an intensive process and carry sufficient information for qualitative algorithms and for a good forecasting performance.

 

The goal of ML is to develop algorithms which can learn and improve over time and can be used for predictions. Therefore, ML fed with qualitative data can generate precise forecasts and thus ensure a secure basis for planning. The resulting benefits, such as reducing inventory levels and simultaneously optimizing the ability to deliver, also improve the operating result. ML uses learning algorithms to recognize patterns and regularities in data and is able to adapt automatically and independently through feedback and thus react to changes.

 

Compared to traditional demand forecasting methods, machine learning not only accelerates data processing speed but provides a more accurate forecast, automates forecast updates based on the recent data in order to create a robust system.

COVID-19: What Can Artificial Intelligence Contribute to Healthcare Industry

COVID19 What Can Artificial Intelligence Contribute to Healthcare Industry

 

One can hardly escape the mention of Artificial Intelligence, or AI for short, today. AI is reshaping economies, promising to generate productivity gains, improve efficiency and lower costs. We see AI in the movies, books, news, human vs computer games and online. AI is part of robots, self-driving cars, drones, medical systems, online shopping sites, and all sorts of other technologies that affects our daily life in so many ways. It contributes to better lives and helps people make better predictions and more informed decisions. AI is also altering the professional world and this also affects the IT specialists themselves, as their routine activities, sometimes even programming, are beingcarried out by algorithms.

 

AI technologies are seeing rapid acceptance in multiple sectors, such as, healthcare, criminal justice, transport, agriculture, finance, marketing and advertising, science, security the public sector, as well as in augmented and virtual reality (AR & VR) applications. As AI systems can detect patterns in enormous volumes of data and model complex, interdependent systems to generate outcomes that improve the efficiency of decision making, save costs and enable better resource allocation, it’s gaining greater public awareness during the corona pandemic.

 

A Canadian company’s advanced artificial intelligence system Toronto-based BlueDot, was among the first in the world to notice the coronavirus disease emerging from China, by using AI-driven algorithm to go through more than 100,000 articles every day in 65 languages looking for news about more than 150 different diseases. Around 10 a.m. EST on Dec. 31, their system spotted an article in Chinese about a “pneumonia of unknown cause” with 27 cases.

 

The corona crisis confirmed to be a motor for the further development of artificial intelligence. The idea of creating an artificial machine is as old as the invention of the computer. Alan Turing in the early 1950s proposed the Turing test, designed to assess whether a machine could be defined as intelligent. Learning algorithms have long since found their way into everyday life – in the form of navigation systems, voice assistants or vacuum robots.

 

Today AI technologies are playing a huge role to fight back and limit the damages caused by COVID-19 outbreak by detecting and diagnosing the virus and predicting its evolution. Once the virus is studied in detail, it’s medical research on drugs and treatments can be accelerated. Further than that, AI technologies and tools are playing a key role in detecting and diagnosing the virus and predicting its evolution and understanding it in every aspect to accelerate medical research on drugs and treatments. AI is already being used for a range of healthcare and research purposes, including detection of disease, management of chronic conditions, delivery of health services, and drug discovery. Artificial intelligence has the potential to transform how care is delivered and to help address important health challenges, without the right data it has its limits.

 

When talking about AI, many people still think of process optimization, such as replace many routine processes, repetitive tasks that are tiring for people. However, AI can do much more than that, through machine learning, the generation of knowledge from experience, the algorithms are able to deal with unknown data, find patterns and independently derive actions. Chatbots, for example, which are increasingly used in customer service, are getting better and better over time as a result of supported learning. Deep learning based on neural networks enables predictions based on very complex relationships. In order to recognize and use the full potential of AI, IT users not only need development and implementation services, but also comprehensive advice. Because the use of AI elements is not comparable to the introduction of new software. As consulting skills, knowledge of AI systems and industry knowledge are becoming more important, IT consultants and business analysts need to have a knowledge background in order to familiarize potential users with the possibilities of artificial intelligence.

 

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Is Your Public Cloud Data Secure?

Is Your Public Cloud Data Secure?

 

With advancing digitalization, business requirements are also developing rapidly. The rise of cloud applications shows no signs of slowing down. More and more organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments. According to a report by Linker, the global public cloud computing market is expected to reach $623.3 billion by 2023. The rapid provision of business applications for the introduction of new, improved business processes is central. Many companies consider outsourcing workloads to the public cloud as a priority. High availability, scalability and cost efficiency open up the possibility of implementing innovative operational developments with little effort.

 

As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about the security of data, systems, and services in the cloud. the public cloud exposes business to a large number of new threats. Its dynamic character makes that relying on traditional security technologies and approaches isn’t enough. Therefore, many companies have to rethink the risk assessment of the data stored in the cloud.

 

While moving their workloads into public cloud, companies think that their business is automatically protected. Unfortunately, this security is not certain. Amazon, Microsoft and Google do indeed partially secure their cloud, but it is not their core business or priority. So, in order to cope with new security challenges, security teams are forced to update their security posture and strategies.

 

A report by RightScale shows that average business runs 38% of workloads in public and 41% in private cloud. Usually, enterprises run a more significant part of their workloads in a private cloud (46%) and a smaller portion (33%) in the public cloud. Small to medium businesses, on the other hand, prefer to use a public cloud (43%), instead of investing in more expensive private solutions (35%).

The cloud computing statistics also show the public cloud spend is growing three times faster than the private cloud usage.

 

For this survey 786 IT professionals were questioned about their adoption of cloud infrastructure and related technologies. 58% of the respondents represented enterprises with more than 1,000 employees. For majority of them, more than 50% of enterprise workloads and data are expected to be in a public cloud within 12 months. More than half of respondents said they’ll consider moving at least some of their sensitive consumer dataor corporate financial data to the cloud.

 

Even tough public cloud adoption continues to accelerate 83% of enterprises indicate that security is a is one of the top challenge, followed by 82% for managing cloud spend and 79% for governance.

Workloads and data in a public cloud for all organizations

 
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Securing the environment in the cloud is one of the biggest challenge or barrier in cloud adoption. If companies want to protect their data in the cloud, they must ensure that the environment is used safely. This requires additional measures at different levels:

 

Secure access with Identity and Access Management (IAM)

 

As the data stored in cloud can be access from any location and any device, access control and whitelisting are among the first and strongest measures to safeguard your cloud. Managing people, roles and identities is primordial in cloud security.

In most companies, user rights for applications, databases, and content are maintained manually in separate access lists. Regulations for dealing with security-relevant technologies are also kept in other places. The lack of automation and distributed access management prevent identity or context attributes that are needed for dynamic Identity and Access Management (IAM) from being considered.

Building an identical repository with clearly defined type of access for each user identity and strict access policies is therefore the first step in the dynamic handling of access rights. For example, it can be specified that employee X login is only permitted from certain geographic locations by secure network connection to access only a selected numbers of files.

While these policies can be managed by different individuals with appropriate authority in the organization, they must exist in a single, reliable, and up-to-date location – across all resources, parameters, and user groups.

 

Data loss prevention (DLP)

 

As data is one of your organization’s most valuable assets, protecting it and keeping it secure must be one of your top priority. In order to accomplish this, a number of DLP controls must be implemented in all cloud applications at various levels and allow IT administrators to intervene. «DLP (Data loss prevention) is the practice of detecting and preventing confidential data from being “leaked” out of an organization’s boundaries for unauthorized use. Data may be physically or logically removed from the organization either intentionally or unintentionally. »

 

Data Encryption

 

Sensitive data may not be transmitted through public networks without adequate encryption. Therefore, one of the most effective cloud security measure that you can take is to encrypt all of your sensitive data in the public cloud. This includes all type of data such as the data at rest inside the cloud and archived and backed-up data, or the data in transit as well. This allows you the complete protection in case of any data exposure, as it remains unreadable and confidential based on your encryption decisions. By encrypting properly data, organizations can also address compliance with government and industry regulations, including GDPR.

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